Please enable JavaScript.

Coggle requires JavaScript to display documents.

PT1: In the production of knowledge, does it matter that observation is an…

- - - - Based on:
        
        systematic observation, experimentation, and replication.
  - - - Galileo’s telescope (astronomy), Darwin’s field observations (biology), double-blind trials (medicine).
      - Often structured to reduce bias (controls, peer review, replication)
  - - - sensory bias (our eyes can’t see UV, so early astronomers missed stars).
    - - faulty equipment, calibration errors.
    - - seeing what you expect (confirmation bias).
    - - cultural/worldview filters (e.g., religious resistance to heliocentrism in Galileo’s time).
  - - - Flawed observation → incorrect conclusions (e.g., early medicine based on humors theory because flawed observations of the body).
      - If flaws aren’t corrected, knowledge can mislead societies (e.g., climate change denial based on cherry-picked data).
    - - Scientific method has built-in error-correcting mechanisms (replication, falsifiability, peer review).
      - Over time, flawed observations are refined (Galileo → Hubble telescope → James Webb).
      - Flaws actually drive progress, because recognizing them forces scientists to improve methods.
  - - - Production of knowledge: Astronomy, heliocentric model.
      - Observation: Jupiter’s moons.
      - Flaws: Limited magnification, distorted lenses.
      - Matter? Yes → created doubt; No → still revolutionized astronomy, errors corrected later.
    - - Production of knowledge: Medical science.
        
        Observation: Patient outcomes.
        
        Flaws: Placebo effect, human reporting bias.
        
        Matter? Yes → flawed observation can risk lives. But controlled methods reduce flaws, leading to reliable knowledge.
- - - - understanding human behavior, societies, and social patterns; often predictive but influenced by context.
    - - observation, surveys, experiments, case studies, interviews, statistical analysis.
  - - - memory distortion, perception bias, social desirability (people act differently when observed).
    - - poorly designed surveys, leading questions, misinterpretation of qualitative data.
    - - experimenter bias, confirmation bias, cultural bias.
    - - societal norms, ethics, or power dynamics influence what is observed or reported
  - - - Flawed observation can produce misleading conclusions about human behavior (e.g., wrongful convictions from faulty eyewitness accounts).
      - Policy decisions or interventions based on flawed data can have real-world negative consequences.
    - - Using triangulation (multiple sources/methods) can reduce flaws.
      - Statistical analysis can identify patterns despite individual biases.
      - Awareness of flaws encourages methodological improvements, strengthening future knowledge.